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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models
Deema Mohammed Alsekait, Hager Saleh, Lubna Abdelkareim Gabralla, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3937-3937
Open Access | Times Cited: 23

Showing 23 citing articles:

ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application
Rajib Kumar Halder, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100371-100371
Open Access | Times Cited: 17
Prediction and detection of terminal diseases using Internet of Medical Things: A review
Akeem Temitope Otapo, Alice Othmani, Ghazaleh Khodabandelou, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109835-109835
Open Access | Times Cited: 1
Detection of Kidney Diseases
Waheeda Almayyan, Bareeq Alghannam
International Journal of E-Health and Medical Communications (2024) Vol. 15, Iss. 1, pp. 1-21
Open Access | Times Cited: 7
Diagnosis of COVID-19 Using Chest X-ray Images and Disease Symptoms Based on Stacking Ensemble Deep Learning
Abdulaziz AlMohimeed, Hager Saleh, Nora El-Rashidy, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1968-1968
Open Access | Times Cited: 13
ACD-ML: Advanced CKD detection using machine learning: A tri-phase ensemble and multi-layered stacking and blending approach
Md Arif Hossain, Shajreen Tabassum Diya, Riasat Khan
Computer Methods and Programs in Biomedicine Update (2025), pp. 100173-100173
Open Access
Early prediction of CKD from time series data using adaptive PSO optimized echo state networks
Thangadurai Anbazhagan, R. Balamurugan
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Proactive healthcare: machine learning-driven insights into kidney failure prediction
Hanan M. Alghamdi
Deleted Journal (2025)
Open Access
Multi-level feature fusion network for kidney disease detection
Saif Ur Rehman Khan
Computers in Biology and Medicine (2025) Vol. 191, pp. 110214-110214
Closed Access
Snake-Efficient Feature Selection-Based Framework for Precise Early Detection of Chronic Kidney Disease
Walaa N. Ismail
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2501-2501
Open Access | Times Cited: 9
Artificial intelligence for early-stage detection of chronic kidney disease
B Mamatha, Sujatha Terdal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 4, pp. 4775-4775
Open Access | Times Cited: 2
Enhancing machine learning-based forecasting of chronic renal disease with explainable AI
Sanjana Singamsetty, Swetha Ghanta, S.K. Biswas, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2291-e2291
Open Access | Times Cited: 2
Henry Gas Optimization Algorithm with Deep Learning based Chronic Kidney Disease Detection and Classification Model
M. Gokiladevi, Sundar Santhoshkumar
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 645-655
Open Access | Times Cited: 1
Designing a Smart IoT Environment by Predicting Chronic Kidney Disease Using Kernel Based Xception Deep Learning Model
Shubhangi Joteppa, Santosh Kumar Balraj, Nagamani Cheruku, et al.
Revue d intelligence artificielle (2024) Vol. 38, Iss. 1, pp. 303-312
Open Access | Times Cited: 1
Chronic Kidney Disease Identification Using Random Forest and XGBoost
M.S. Abirami, Sayak Das, Roopal Sood
(2024), pp. 1-6
Closed Access | Times Cited: 1
MRI Scans for Deep Learning-Based Chronic Nephropathy Detection: A Comparison of CNN, MobileNet, VGG16, and ResNet-50 Models
Md. Amanatulla, Gundala Swathi, M. Pallavi, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Deep ensemble learning for intelligent healthcare computing: A case study of Alzheimer’s disease
Tawseef Ayoub Shaikh, Tawqeer Ul Islam, Sameen Rafi Mir, et al.
INTERNATIONAL JOURNAL OF NEXT-GENERATION COMPUTING (2024)
Closed Access | Times Cited: 1
CKD Prediction using Mixed Dataset Concept and Deep Learning: A Combined Approach for Accurate Diagnosis
Subashini. N.J, K. Venkatesh
(2023), pp. 1-6
Closed Access | Times Cited: 2
The Impact of Machine Learning on Chronic Kidney Disease: Analysis and Insights
K. P. Swain, Rabindra Kumar Nayak, Ayusee Swain, et al.
(2024), pp. 121-148
Closed Access
The role of mathematics in machine learning for disease prediction: in dept-review in the healthcare domain
Abdillah Abdillah, Syaharuddin Syaharuddin, Vera Mandailina, et al.
Advance Sustainable Science Engineering and Technology (2024) Vol. 6, Iss. 4, pp. 02404010-02404010
Open Access
A machine learning model for early diagnosis of type 1 Gaucher disease using real-life data
Avraham Tenenbaum, Shoshana Revel‐Vilk, Sivan Gazit, et al.
Journal of Clinical Epidemiology (2024) Vol. 175, pp. 111517-111517
Closed Access
A Dual-Task Mutual Learning Framework for Predicting Post-thrombectomy Cerebral Hemorrhage
Caiwen Jiang, Tianyu Wang, Xiaodan Xing, et al.
Lecture notes in computer science (2024), pp. 58-68
Closed Access
Explainable Chronic Kidney Disease (CKD) Prediction using Deep Learning and Shapley Additive Explanations (SHAP)
Khadiime Jhumka, Muhammad Muzzammil Auzine, Maleika Heenaye-Mamode Khan, et al.
(2023) Vol. 27, pp. 29-33
Closed Access
Predictive Modeling of Chronic Kidney Disease Progression Using Longitudinal Clinical Data and Deep Learning Techniques
Farzaneh Rastegari, Mahmoud Odeh, Reyhaneh Mehdizadeh Baroughi, et al.
(2023), pp. 1-4
Closed Access
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